{"id":"W2753184672","doi":"10.1038/549023a","title":"Stop this waste of people, animals and money","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":279,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Ottawa; Ottawa Hospital","funders":"","keywords":"Business; Environmental science; Natural resource economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01144981,0.001209801,0.001197946,0.003338912,0.005584346,0.01921426,0.002073301,0.009475983,0.08401728],"category_scores_gemma":[0.08429053,0.0007114524,0.0009873512,0.002533799,0.005755235,0.01777107,0.006380804,0.009209109,0.0973397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002644353,"about_ca_system_score_gemma":0.007718005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004303366,"about_ca_topic_score_gemma":0.008271497,"domain_scores_codex":[0.9903246,0.001839803,0.0005760686,0.0005950668,0.005843511,0.0008208391],"domain_scores_gemma":[0.9352819,0.01464686,0.004565726,0.007732233,0.02620199,0.01157132],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003056331,0.00002710408,0.0002985887,0.0001572097,0.00001667954,0.00005687631,0.0002775145,0.00001316846,0.0002011334,0.007742426,0.9673578,0.02382092],"study_design_scores_gemma":[0.00001153132,0.00001567409,0.0002848512,0.0002435987,0.000007246351,0.00006963942,0.0005834294,0.00001548643,0.0001718738,0.004743517,0.9938412,0.00001213943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001524517,0.0189946,0.002435496,0.7525636,0.118612,0.00005908042,0.0005264194,0.001230594,0.1040537],"genre_scores_gemma":[0.01924367,0.02284228,0.007237324,0.477784,0.04676233,0.0001702614,0.000886014,0.002457531,0.4226165],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9885502,"threshold_uncertainty_score":0.2810658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05879269652852195,"score_gpt":0.4362655842041861,"score_spread":0.3774728876756641,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}